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The results I found for attitudes towards suicide were what was expected I ran the significance values for level of education degree and for age However my disk contracted a virus and I lost my data set and was not able to run significance values for my other independent variables age income What I found was that attitudes towards suicide were affected by degree and age Degree was the most powerful predictor of attitudes towards suicide I used the Somersd method because both the dependent variable and the independent variable had nominal values The Somersd value was 187 and was significant at the 001 level This means that there is a 187 or 19 reduction in error in predicting attitudes towards suicide by knowing the respondents highest degree earned The higher someones education the more likely that they can see suicide acceptable in at least one situation Table 1 shows the extremes of the degree category to display the strong correlation We can see of the respondents who had less than a High school Diploma only 546 of them could not see suicide acceptable in any of the four situations Out of all the respondents who earned a high school diploma only 41 of them could not deem suicide acceptable in any situation and out of all the respondents who have higher than a high school diploma only 30 of them could not accept it in any situation The Chi Square could not be interpreted because there was not 5 people in every cell Technically in this circumstance we can not reject the null hypothesis but there was only one cell with three and we found that there is a 19 significance value so we can assume that three is a relationship between our independent and dependent variables TABLE 1 ATTITUDES TOWARDS SUICIDE AS COMPARED WITH HIGHEST DEGREE EARNED Age was another strong predictor of attitudes towards suicide

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